% IMPORTANT: The following is UTF-8 encoded.  This means that in the presence
% of non-ASCII characters, it will not work with BibTeX 0.99 or older.
% Instead, you should use an up-to-date BibTeX implementation like “bibtex8” or
% “biber”.

@ARTICLE{Shao:1042716,
      author       = {Shao, Yuxiu and Dahmen, David and Recanatesi, Stefano and
                      Shea-Brown, Eric and Ostojic, Srdjan},
      title        = {{I}mpact of {L}ocal {C}onnectivity {P}atterns on
                      {E}xcitatory-{I}nhibitory {N}etwork {D}ynamics},
      journal      = {PRX life},
      volume       = {3},
      number       = {2},
      issn         = {2835-8279},
      address      = {College Park, MD},
      publisher    = {American Physical Society},
      reportid     = {FZJ-2025-02662},
      pages        = {023008},
      year         = {2025},
      abstract     = {Networks of excitatory and inhibitory (EI) neurons form a
                      canonical circuit in the brain. Seminal theoretical results
                      on the dynamics of such networks are based on the assumption
                      that synaptic strengths depend on the type of neurons they
                      connect, but are otherwise statistically independent. Recent
                      synaptic physiology datasets, however, highlight the
                      prominence of specific connectivity patterns that go well
                      beyond what is expected from independent connections. While
                      decades of influential research have demonstrated the strong
                      role of the basic EI cell type structure, the extent to
                      which additional connectivity features influence dynamics
                      remains to be fully determined. Here we examine the effects
                      of pairwise connectivity motifs on the linear dynamics in
                      excitatory-inhibitory networks using an analytical framework
                      that approximates the connectivity in terms of low-rank
                      structures. This low-rank approximation is based on a
                      mathematical derivation of the dominant eigenvalues of the
                      connectivity matrix, and it predicts the impact on responses
                      to external inputs of connectivity motifs and their
                      interactions with cell-type structure. Our results reveal
                      that a particular pattern of connectivity, namely chain
                      motifs, have a much stronger impact on dominant eigenmodes
                      than other pairwise motifs. In particular, an
                      over-representation of chain motifs induces a strong
                      positive eigenvalue in inhibition-dominated networks, and it
                      generates a potential instability that requires revisiting
                      the classical excitation-inhibition balance criteria.
                      Examining the effects of external inputs, we show that chain
                      motifs can on their own induce paradoxical responses, where
                      an increased input to inhibitory neurons leads to a decrease
                      in their activity due to the recurrent feedback. These
                      findings have direct implications for the interpretation of
                      experiments in which responses to optogenetic perturbations
                      are measured and used to infer the dynamical regime of
                      cortical circuits.},
      cin          = {IAS-6},
      ddc          = {570},
      cid          = {I:(DE-Juel1)IAS-6-20130828},
      pnm          = {5231 - Neuroscientific Foundations (POF4-523) / 5232 -
                      Computational Principles (POF4-523) / DFG project
                      G:(GEPRIS)430157073 - Evolutinäre Konvergenz hierarchischer
                      Informationsverarbeitung (430157073)},
      pid          = {G:(DE-HGF)POF4-5231 / G:(DE-HGF)POF4-5232 /
                      G:(GEPRIS)430157073},
      typ          = {PUB:(DE-HGF)16},
      doi          = {10.1103/PRXLife.3.023008},
      url          = {https://juser.fz-juelich.de/record/1042716},
}